Applying constrained nonlinear generalized PI strategy to PDF tracking control through square root B-spline models

DOI10.1080/00207170412331326972zbMath1076.93018OpenAlexW2032370716MaRDI QIDQ4652110

Hong Wang, Lei Guo

Publication date: 24 February 2005

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207170412331326972

zbMATH Keywords

closed-loop systemtarget functionnonlinear proportional-integral tracking controller designnonlinear weight dynamical modelsprobability density function trackingsquare root B-spline expansiontarget weight model

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Nonlinear systems in control theory (93C10) Design techniques (robust design, computer-aided design, etc.) (93B51) Stochastic systems in control theory (general) (93E03)

Related Items (6)

Fault detection and estimation for non-Gaussian stochastic systems with time varying delay ⋮ Constrained discrete-time PI controller design for output PDFs of stochastic systems with time delays ⋮ On stabilizing PI controller ranges for multivariable systems ⋮ Fault detection and diagnosis for stochastic systems via output PDFs ⋮ A fault tolerant control framework for periodic switched non-linear systems ⋮ Observer-based optimal fault detection using pdfs for time-delay stochastic systems

Cites Work

• Towards fully probabilistic control design
• The Fokker-Planck equation. Methods of solution and applications.
• H∞ Controllers With a PID Structure
• Reference governor for constrained nonlinear systems
• Robust control of the output probability density functions for multivariable stochastic systems with guaranteed stability
• Bounded stochastic distributions control for pseudo-ARMAX stochastic systems
• Robust H ∞ performance problem for linear systems with nonlinear uncertainties in all system matrices
• Robust H ∞ control for descriptor systems with non-linear uncertainties
• Robust multivariable PID control for linear parameter varying systems
• On the design of multivariable PID controllers via LMI approach.

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